Modeling with proportionality and geometric similarity was a fun journey. As modelers, we had to retrace our steps with one of the fundamental properties of geometry, which is proportionality. This is more complex because we are looking beyond simple shapes and from here we make reasonable assumptions that aid in building simple and logical models. 

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    In this module, we learned how a component of an object could represent its entirety, Similarly, we learned how to relate geometrically similar objects to one another mathematically by inspecting properties and identifying significant relationships among them. This stimulates our investigative senses to think and rethink and finally, to test what we know.  Since we are assuming proportionality among different objects, we expect some deviations among our data sets. Therefore we must perform model fitting to determine the deviation between our model and the original data.

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     Our chosen topic focuses on chicken weight and we built a simple model using the chest circumference to determine its weight. We decided to use data from a published study instead of collecting our own data because we did not have any chickens nearby. We plotted the obtained values from the model against the original weight values and saw that they both exhibit an increasing trend and graphically, the spacing between the data points is close. Report 2 was also amazing because we saw the application of statistics in modeling. 

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